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首页> 外文期刊>Ecological research >Separation of root and heterotrophic respiration within soil respiration by trenching, root biomass regression, and root excising methods in a cool-temperate deciduous forest in Japan
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Separation of root and heterotrophic respiration within soil respiration by trenching, root biomass regression, and root excising methods in a cool-temperate deciduous forest in Japan

机译：在日本的温带落叶林中，通过挖沟，根生物量回归和根切除方法将土壤呼吸中的根和异养呼吸分离

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摘要

Trenching (Tr), root biomass regression (RR), and root excising (RE) methods were used to estimate the contribution of root (RR) and heterotrophic (HR) respiration to soil respiration (SR) in a cool-temperate deciduous forest in central Japan. The contribution ratios of RR to SR were 23 %(-16 to 46 %), 11 % (-19 to 61 %),and 115 % (20 to 393 %), as estimated by the Tr, RR, and RE methods, respectively. The contribution ratio showed clear seasonal variation with high values in summer for the Tr method, while they were undetectable for the RR and RE methods because of some methodological problems. These results suggest the Tr method is the best of the three methods used to estimate the contribution ratio of RR and HR to SR in the forest. Annual SR, RR, and HR rates, estimated by the Tr method, were 479, 369, 110 gC m~(-2) year~(-1), respectively. The seasonal variation of SR was mainly influenced by HR (77 %) throughout the year, while the influence of RR on SR was strongest in summer (46 %). This effect occurred because RR (Q_(10) = 7.5) is more sensitive to temperature than HR (Q_(10) = 3.2). Also, the contribution of fine RR to total RR was higher than that of coarse RR because of high respiratory activity (Q_(10) and R_(10)) as well as the large biomass of fine roots. These results suggest that each component of SR responds differently to the same environmental factors and their relative influence on SR changes across the seasons.
机译：沟（Tr），根系生物量回归（RR）和根系切除（RE）方法用于估算新疆温带落叶林中根系（RR）和异养（HR）呼吸对土壤呼吸（SR）的贡献。日本中部。根据Tr，RR和RE方法估算，RR对SR的贡献率分别为23％（-16至46％），11％（-19至61％）和115％（20至393％），分别。 Tr方法的贡献率在夏季表现出明显的季节变化和较高的值，而由于某些方法学问题，RR和RE方法无法检测到它们。这些结果表明，Tr方法是用于估计森林中RR和HR对SR的贡献率的三种方法中最好的。用Tr法估算的年SR，RR和HR率分别为479、369、110 gC m〜（-2）年〜（-1）。全年SR的季节变化主要受HR影响（77％），而夏季RR对SR的影响最大（46％）。发生这种效果是因为RR（Q_（10）= 7.5）比HR（Q_（10）= 3.2）对温度更敏感。此外，由于较高的呼吸活动（Q_（10）和R_（10））以及细根的大量生物量，细RR对总RR的贡献高于粗RR。这些结果表明，SR的每个组成部分对相同的环境因素及其在整个季节对SR变化的相对影响都具有不同的响应。

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  • 来源
    《Ecological research》 |2013年第2期|259-269|共11页
  • 作者

    Mitsutoshi Tomotsune; Shinpei Yoshitake; Shinya Watanabe; Hiroshi Koizumi;

  • 作者单位

    Faculty of Science and Engineering, Waseda University, 2-2 Wakamatsucho, Shinjuku-ku, Tokyo 162-8480, Japan;

    Faculty of Science and Engineering, Waseda University, 2-2 Wakamatsucho, Shinjuku-ku, Tokyo 162-8480, Japan;

    Faculty of Science and Engineering, Waseda University, 2-2 Wakamatsucho, Shinjuku-ku, Tokyo 162-8480, Japan;

    Faculty of Education and Integrated Arts and Sciences, Waseda University, 2-2 Wakamatsucho, Shinjuku-ku, Tokyo 162-8480, Japan;

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  • 正文语种 eng
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  • 关键词

    carbon cycle; fine root; Q_(10) value; quercus serrata; seasonal variation;

    机译：碳循环细根Q_（10）值;锯齿栎季节性变化;

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